Enterprise Architect

• unlimited vacation competitive benefits (4% 401k match immediately vested, etc.)
• Must have an active Secret (or higher) clearance
• Location: Fort Eustis

The Data/Enterprise Architect Designs and builds databases for data storage or processing. Develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Builds data models and defines the structure, attributes and nomenclature of data elements. May evaluate new data sources for adherence to the organization's quality standards and ease of integration.

Duties & Responsibilities:

• Design and implement data architectures that efficiently handle large volumes of unstructured, text-based data, including natural language processing (NLP) systems.
• Develop and oversee methodologies for text data extraction, processing, and analysis, utilizing technologies such as Elasticsearch, Solr, or custom NLP tools.
• Optimize data systems for AI performance, ensuring seamless integration with AI applications.
• Implement and manage data storage solutions optimized for unstructured data, focusing on performance, reliability, and cost-effectiveness.
• Lead strategic initiatives for data governance, management, and architecture.
• Analyze data sets critically to assess their value and contribution to AI applications.
• Collaborate with senior leadership to align the data architecture strategy with business objectives, emphasizing the value of unstructured data.
• Provide technical leadership and guidance to data engineering teams.
• Keep abreast of the latest trends and technologies in unstructured data management and analysis, ensuring our approaches remain cutting-edge.
• Monitor and optimize the performance of data architectures.
• Ensure data solutions comply with industry standards and security regulations.
• Address complex challenges in data architecture with strategic and innovative solutions.

Required Qualifications:

• 10 years of experience in engineering, design and analysis of IT or related systems experience.
• Master's Degree
• Experience in all phases of design, development, analysis and documentation, and development of standards and guidelines for tasks being performed.
• Experience in providing technical leadership and guidance to data engineers.